{"title":"电子保健如何减少与生活方式有关的疾病患者的治疗时间","authors":"Y. Akematsu, M. Tsuji","doi":"10.1109/HealthCom.2012.6379481","DOIUrl":null,"url":null,"abstract":"This paper aims to conduct the empirical analysis of reasons why e-Health effects on treatment days of patients with lifestyle-related diseases. Statistical analysis practiced based on panel data of medical expenditures of about 400 individuals from 2002 to 2006 in Nishi-aizu Town, Fukushima Prefecture, Japan. Nishi-aizu Town is one of the earliest cases in Japan to introduce e-Health successfully. Focus is placed on the patients who have lifestyle-related diseases, since their condition is likely to be stable. Data of outpatient days is used to analyze the effect of e-Health. Our estimation results show that e-Health usage can reduce days of outpatient. The conclusion of this paper is that outpatient days are reduces by 2.0, 8.1 days per year for treatment, respectively.","PeriodicalId":138952,"journal":{"name":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"How e-health reduces days spent for treatment of patients with lifestyle-related diseases\",\"authors\":\"Y. Akematsu, M. Tsuji\",\"doi\":\"10.1109/HealthCom.2012.6379481\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims to conduct the empirical analysis of reasons why e-Health effects on treatment days of patients with lifestyle-related diseases. Statistical analysis practiced based on panel data of medical expenditures of about 400 individuals from 2002 to 2006 in Nishi-aizu Town, Fukushima Prefecture, Japan. Nishi-aizu Town is one of the earliest cases in Japan to introduce e-Health successfully. Focus is placed on the patients who have lifestyle-related diseases, since their condition is likely to be stable. Data of outpatient days is used to analyze the effect of e-Health. Our estimation results show that e-Health usage can reduce days of outpatient. The conclusion of this paper is that outpatient days are reduces by 2.0, 8.1 days per year for treatment, respectively.\",\"PeriodicalId\":138952,\"journal\":{\"name\":\"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HealthCom.2012.6379481\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HealthCom.2012.6379481","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How e-health reduces days spent for treatment of patients with lifestyle-related diseases
This paper aims to conduct the empirical analysis of reasons why e-Health effects on treatment days of patients with lifestyle-related diseases. Statistical analysis practiced based on panel data of medical expenditures of about 400 individuals from 2002 to 2006 in Nishi-aizu Town, Fukushima Prefecture, Japan. Nishi-aizu Town is one of the earliest cases in Japan to introduce e-Health successfully. Focus is placed on the patients who have lifestyle-related diseases, since their condition is likely to be stable. Data of outpatient days is used to analyze the effect of e-Health. Our estimation results show that e-Health usage can reduce days of outpatient. The conclusion of this paper is that outpatient days are reduces by 2.0, 8.1 days per year for treatment, respectively.